Watersheds Morphometry and Structural Interpretation of Lineaments Extracted from SRTM Data in the Mayo-Kani Division Far-Nord Region, (Cameroon)

Jean Jacques Nguimbous-Kouoh^1, , Dieudonné Minyem², Richard Tanwi Ghogomu³, Simon Ngos III¹ and Eliezer Manguelle-Dicoum⁴

¹1Department of Mines, Petroleum, Gas and Water Resources Exploration, Faculty of Mines and Petroleum Industries, University of Maroua, P.O. Box 08 Kaele, Cameroon

²Department of Mining Engineering and Mineral Processing, Faculty of Mines and Petroleum Industries, University of Maroua, P.O. Box 08 Kaele, Cameroon

³Department of Industrial Security, Quality and Environment, Faculty of Mines and Petroleum Industries, University of Maroua, P.O. Box 08 Kaele, Cameroon

⁴Department of Physics, Faculty of Science, University of Yaoundé I, PO Box 6052 Yaoundé, Cameroon

Cite this paper

Jean Jacques Nguimbous-Kouoh, Dieudonné Minyem, Richard Tanwi Ghogomu, Simon Ngos III and Eliezer Manguelle-Dicoum. Watersheds Morphometry and Structural Interpretation of Lineaments Extracted from SRTM Data in the Mayo-Kani Division Far-Nord Region, (Cameroon). Journal of Geosciences and Geomatics. 2019; 7(2):54-65. doi: 10.12691/JGG-7-2-1

Abstract

In the Far-North Region of Cameroon, the high rate of weathering and erosion of rocks do not allow to map the hydrological and geological structures in the field. This paper aims to test the combined use of field topographic data and Shuttler Radar Topography Mission (SRTM) data to define watershed morphometry, highlight the different erosion factors, and characterize the structural lineaments of the Mayo-Kani Division, within the Far-North Region of Cameroon. All these are done using; watersheds, hydrographic network, slopes, manual lineaments and automatic lineaments maps. These treatment techniques used (filtering, enhancement and slope analyses) allows: to morphologically characterize the ten identified Mayo-Kani watersheds, to measure the erodibility rate of the watersheds using the Universal Soil Loss Equation (USLE) and to compute the fracture maps. This last operation was validated using ground truth field observations and the literature review. Fracture networks were analyzed using statistical analysis techniques by studying fracture length distribution laws.

Keywords

satellite imagery, SRTM, GIS, morphometry, structural fracture

Copyright

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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